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Sustainable Talent

via Greenhouse

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Generative AI Annotation Operations Engineer

Anywhere
full-time
Posted 7/24/2025
Direct Apply
Key Skills:
Operations
Data Analysis
Software Development
Problem-Solving
Python Scripting
Automation
Communication
Data Annotation
ETL Systems
Machine Learning

Compensation

Salary Range

$86 - 90 hour

Responsibilities

The GenAI Annotation Operations Engineer will lead the design and optimization of annotation projects and workflows. This role involves collaborating with various teams to configure scalable workflows and maintain pipelines for high-quality dataset annotation.

Requirements

Candidates should have a Bachelor's degree and at least 3 years of experience in operations or software development. Strong problem-solving skills and proficiency in Python scripting are essential.

Full Description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a GenAI Annotation Operations Engineer to support our client's annotation project design, setup and operations Team. This is a W-2 full-time contract based in Santa Clara, CA with remote work options. We offer competitive pay $86/hr - $90/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture! NVIDIA is seeking a dynamic and versatile GenAI Annotation Operations Engineer to lead the design and optimization of high-impact annotation projects and workflows that power AI research and development. This is a hands-on, highly cross-functional role for someone who enjoys designing and building efficient workflows, solving complex data problems, and collaborating with technical and non-technical teams. Serving as a technical lead for annotation project design, setup and operations, you’ll work closely with engineers, researchers, and operations leads to configure scalable workflows, integrate automation, and bring models into the loop. You’ll also help design and maintain pipelines that support seamless task transitions across multi-stage workflows — enabling scalable, efficient annotation of high-quality datasets. What You’ll Do: Set up, test, and maintain UI configurations for annotation tasks using a third-party annotation platform and internal tooling. Design and adapt automation scripts in annotation pipelines, Data processing, logging and telemetry Collaborate with product managers, engineers, researchers, data annotators, and other cross-functional team members for annotation project set up, requirement gathering, prioritization, pre-annotation and post-annotation processing and quality review. Act as the single-threaded owner of each project end to end— from requirement gathering to dataset delivery. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Troubleshoot project setup issues, pipeline failures, and UI bugs. Develop and maintain technical guidelines, playbooks, and internal tools to build and operate annotation projects. Lead and support general annotation operation improvement initiatives across various data domains. What We're Looking For: Bachelor's degree with 3+ years of experience in operations (AI/NLP operations, product operations, or data analysis) or software development. Strong problem-solving skills with a systems-thinking and automation-first mindset Proficiency with Python scripting, for data processing and automation. Excellent communication skills and the ability to interface with both technical and operational teams Familiarity with structured data formats (CSV, JSON, JSONL), cloud storage (e.g., S3), telemetry and monitoring concepts Experience with data annotation platforms, modern ETL systems, machine learning is a bonus. Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

This job posting was last updated on 7/25/2025

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